import pymysql
import pandas as pd
import pymysql.cursors


class MysqlUtils(object):
    """数据库工具类"""

    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            database='scenic',
            port=3306,
            charset='utf8'
        )

    def get_scenic_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT order_id, age, user_count, id_no, user_name, phone FROM (
        SELECT o.id as order_id, u.id_no, u.user_name, u.phone,
        case
            when length(u.id_no) = 18 then YEAR(now()) - CAST(SUBSTR(u.id_no, 7, 4) as signed)
            else NULL
        end as age,
        (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
        FROM ticket_order o JOIN ticket_order_user_rel u on u.order_id = o.id WHERE o.pay_time is not null and o.pay_time != '' and u.id_no is not null and u.id_no != ''
        ) as subquery
        WHERE user_count = 1 and (age < 18 or age >= 60)
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        print(df)
        df.to_csv('F:\pj\data-mining-2202\outlier\scenic_data.csv')


if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic_data()